def scheduled_scan():
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
session_id = base64.b64encode(
scan_starttime.encode("ascii")).decode("ascii")
utils.config_test()
exploitdb_success = False
if cp.get('exploitdb', 'use_exploitdb') == 'True':
ExploitDB.download_vulndata(langdata)
extracted = ExploitDB.extract_windows_exploit(langdata)
exploitdb_vulndata = ExploitDB.parse_vulndata(extracted)
if exploitdb_vulndata is not None:
exploitdb_success = True
if cp.get('general', 'do_not_save_vulndata') == 'True':
os.remove(cp.get('exploitdb', 'vulndata_filename'))
jvn_success = False
if cp.get('jvn', 'use_jvn') == 'True':
jvn_vulndata = JVN.download_vulndata(langdata)
if jvn_vulndata is not None:
jvn_success = True
nvd_success = False
if cp.get('nvd', 'use_nvd') == 'True':
nvd_vulndata = NVD.download_vulndata(langdata)
if nvd_vulndata is not None:
nvd_success = True
installed = {}
installed.update(local_app.getapp_from_wmi())
installed.update(local_app.getapp_from_hklm())
installed.update(local_app.getapp_from_hklmwow64())
installed.update(local_app.getapp_from_hkcu())
result = {}
count = 0
scanret_exploitdb = ExploitDB.scan(langdata, exploitdb_vulndata, installed)
scanret_jvn = JVN.scan(langdata, jvn_vulndata, installed)
scanret_nvd = NVD.scan(langdata, nvd_vulndata, installed)
scanret_winupdate = WindowsUpdate.scan(langdata)
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_nvd[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_nvd[
1] + scanret_winupdate[1]
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
history = '''
Session ID: {}
Scan started at: {}
Scan ended at: {}
Found vulnerable application and available update: {}
DetExploit Version: {}
#####################################################################
'''.format(session_id, scan_starttime, scan_endtime, count,
DETEXPLOIT_VERSION)
with open('../history.detexploit', 'w') as wh:
wh.write(history)
report.generate_report(langdata, DETEXPLOIT_VERSION, session_id, count,
scan_starttime, scan_endtime, exploitdb_success,
jvn_success, nvd_success, result)
def run(cfg: DictConfig) -> None:
# Getting data
data = get_data(dataname=cfg.stock.name, period=cfg.grain.period)
# Run optimization
dct = bayesian_optimization(data, cfg)
# Generate report
generate_report(dct, cfg)
def main():
# # 1 import non pwi
nii.import_non_pwi()
# # 2. import batches
nii.import_batches(1, MAX_CASE)
# # 3. import keys
nii.import_keys()
# 4. combine batches into a single batch file, and keys into a single key file
start_case = 1
end_case = MAX_CASE
X, Y, size = trainer.combine_batches(start_case, end_case)
X = np.reshape(X, (-1, SAMPLE_SIZE))
Y = np.array(Y).flatten()
# 5.1 training and testing with Kfolds (split = 5, train= 80%, test =20%)
rpkf = RepeatedKFold(n_splits=5, n_repeats=50, random_state=2652124)
for train_index, test_index in rpkf.split(X):
x_train, x_test = X[train_index], X[test_index]
y_train, y_test = Y[train_index], Y[test_index]
normalized_x_train = preprocessing.scale(x_train)
normalized_x_test = preprocessing.scale(x_test)
if not os.path.isdir(MODEL_DIR):
os.makedirs(MODEL_DIR)
for model_name in models:
print("training with ", model_name)
model_file_path = os.path.join(
MODEL_DIR,
model_name + "[" + str(start_case) + "-" + str(end_case) + "].sav")
if not os.path.isfile(model_file_path):
clf = models[model_name].fit(normalized_x_train, y_train)
joblib.dump(clf, model_file_path)
else:
clf = joblib.load(model_file_path)
# predict and report
y_predicted = clf.predict(normalized_x_test)
f1_s = f1_score(y_test, y_predicted)
acc_s = accuracy_score(y_test, y_predicted)
print("Model: %s [%d - %d] f1_score = %f and acc_score = %f" %
(model_name, start_case, end_case, f1_s, acc_s))
reporter.generate_report(
model_name + "[" + str(start_case) + "-" + str(end_case) + "]",
f1_s, acc_s)
def report(self):
logging.info("Report")
self.load_project()
#self.load_data()
self.create_dir()
if self.user is None or self.user is False:
self.user = __author__
#data = self.show_project()
if send_mail(self.user, self.project) is True:
logging.info(
"A report email has been sent to %s\nCheck your mailbox!" %
self.user)
self.update_task(self.task['name'], "report : mail")
else:
logging.info("Impossible to send mail to %s\nCheck your email!" %
self.user)
self.update_task(self.task['name'], "report : mail", False)
if generate_report(self.task, self.project, self.directory):
#self.coll.update({"_id": self.task['_id']}, {"$push": {"action":"report: document", "status": True, "date": self.date, "msg": "Ok"}})
self.update_task(self.task['name'], "report : doc")
logging.info("Report sent and stored!")
return sys.exit(0)
else:
#self.coll.update({"_id": self.task['_id']}, {"$push": {"action":"report: document", "status": False, "date": self.date, "msg": "Unable to create report document"}})
self.update_task(self.task['name'], "report : doc", False)
return sys.exit("Report failed")
def generate_saved_report(param):
"""
Returns a file object whcih can be stored by the user
"""
title=param.get('report',[''])[0]
items=report.load_report(title)
return ('file',(report.generate_report(title,items),title))
def core_choice():
s = ( "exit",
"projects",
"procedures",
"experiments",
"reagents",
"equipment",
"specimens",
"generate report")
print "Edit or create new: "
for index, item in enumerate(s):
print "{}: {}".format(index, item)
choice = None
while choice not in range(len(s)):
try:
choice = raw_input("=>")
if choice == "":
continue
else:
choice = int(choice)
if choice == 0:
return None
elif choice not in range(len(s)):
raise ValueError("invalid choice")
except Exception:
print "Invalid choice, please try again."
if s[choice] == "generate report":
generate_report()
return True
item = make_choice(s[choice], "SELECT * FROM {}".format(s[choice]))
print "\n{} INFO".format(s[choice]).upper()
for key in item:
if 'id' not in key:
print "{} = {}".format(key, item[key])
edit[s[choice]](item)
return True
def core_choice():
s = ("exit", "projects", "procedures", "experiments", "reagents",
"equipment", "specimens", "generate report")
print "Edit or create new: "
for index, item in enumerate(s):
print "{}: {}".format(index, item)
choice = None
while choice not in range(len(s)):
try:
choice = raw_input("=>")
if choice == "":
continue
else:
choice = int(choice)
if choice == 0:
return None
elif choice not in range(len(s)):
raise ValueError("invalid choice")
except Exception:
print "Invalid choice, please try again."
if s[choice] == "generate report":
generate_report()
return True
item = make_choice(s[choice], "SELECT * FROM {}".format(s[choice]))
print "\n{} INFO".format(s[choice]).upper()
for key in item:
if 'id' not in key:
print "{} = {}".format(key, item[key])
edit[s[choice]](item)
return True
def draw_report_section(width, state, description):
rooms = state['rooms']
img = Image.new('RGBA', (width, one_meter * 7), 'white')
imagedraw = ImageDraw.Draw(img)
font = ImageFont.truetype('Roboto-Bold.ttf', size=int(0.8 * one_meter))
for i, s in enumerate(
report.generate_report(state, description).split('\n')):
draw_enriched_text(state,
img,
(one_meter * 3, int(one_meter * (2 + 2.4 * i))),
s,
font=font)
return img
def on_generate_report(self, request):
error = None
url = ''
hyp_config = {'user': '******', 'password': '******', 'vcenter': 'vcenter'}
report = Report(hyp_config)
try:
server = report.connect()
except Error:
return Response("error", status=500)
report.report_to_file(report.generate_report(server))
report.disconnect()
return Response("ok", status=200)
def test_generate_report(tmpdir, monkeypatch):
output_dir = tmpdir.mkdir("output")
monkeypatch.setattr("cluster_discovery.tokens.get", lambda x: "mytok")
monkeypatch.setattr(
"cluster_discovery.ClusterRegistryDiscoverer.get_clusters",
lambda x:
[Cluster("test-cluster-1", "https://test-cluster-1.example.org")],
)
responses = {
"/api/v1/nodes": {
"items": [{
"metadata": {
"name": "node-1",
"labels": {}
},
"status": {
"capacity": {
"cpu": "1",
"memory": "1Gi"
},
"allocatable": {
"cpu": "1",
"memory": "1Gi"
},
},
}]
},
"/api/v1/pods": {
"items": []
},
"/apis/extensions/v1beta1/ingresses": {
"items": []
},
}
monkeypatch.setattr(
"report.request",
lambda cluster, path: MagicMock(json=lambda: responses.get(path)),
)
cluster_summaries = generate_report("https://cluster-registry", None,
False, str(output_dir),
set(['kube-system']), None, None)
assert len(cluster_summaries) == 1
def generate_report(param):
"""
Either generates a report or saves the report.
Get's hold of all the variables and passes them along to the generate_report function
"""
number=int(param.get('number',[''])[0])
items=[]
title=param.get('title',[''])[0]
for i in range(1,number+1):
stat_type=param.get('type'+str(i),[''])[0]
if stat_type=='count':
chart_type=param.get('counttype'+str(i),[''])[0]
start=param.get('countstart'+str(i)+'_year',[''])[0]+'-'+param.get('countstart'+str(i)+'_month',[''])[0]+'-'+param.get('countstart'+str(i)+'_day',[''])[0]
end=param.get('countend'+str(i)+'_year',[''])[0]+'-'+param.get('countend'+str(i)+'_month',[''])[0]+'-'+param.get('countend'+str(i)+'_day',[''])[0]
group=param.get('countgroup'+str(i),[''])
cutoff=param.get('countcutoff'+str(i),[''])
calc=param.get('countcalc'+str(i),[''])
items.append({'type':'count','start':start,'end':end,'cutoff':cutoff,'calculation':calc,'group':group,'chart_type':chart_type})
elif stat_type=='scatter':
variables=param.get('scattervariables'+str(i),[''])
calc=param.get('scattercalc'+str(i),[''])
items.append({'type':'scatter','variables':variables,'calculation':calc})
elif stat_type=='compare':
group=param.get('comparegroup'+str(i),[''])
variable=param.get('comparevariables'+str(i),[''])[0]
calc=param.get('comparecalc'+str(i),[''])
calcvariable=param.get('comparecalcvariable'+str(i),[''])[0]
cutoff=param.get('comparecutoff'+str(i),[''])
items.append({'type':'compare','variable':variable,'group':group,'calcvariable':calcvariable,'calculation':calc,'cutoff':cutoff})
action=param.get('action',[''])[0]
if action=='save':
report.save_report(title,items)
return pdf(param)
elif action=='generate':
content=report.generate_report(title,items)
return ('file',(content,title))
def report(self):
logging.info("Report")
self.load_project()
#self.load_data()
self.create_dir()
if self.user is None or self.user is False:
self.user = __author__
#data = self.show_project()
if send_mail(self.user, self.project) is True:
logging.info("A report email has been sent to %s\nCheck your mailbox!" %self.user)
try:
self.update_status(self.task['name'], "report : mail")
except pymongo.errors.OperationFailure:
pass
else:
logging.info("Impossible to send mail to %s\nCheck your email!" %self.user)
try:
self.update_status(self.task['name'], "report : mail", False)
except pymongo.errors.OperationFailure:
pass
if generate_report(self.task, self.project, self.directory):
#self.coll.update({"_id": self.task['_id']}, {"$push": {"action":"report: document", "status": True, "date": self.date, "msg": "Ok"}})
try:
self.update_status(self.task['name'], "report : doc")
except pymongo.errors.OperationFailure:
pass
logging.info("Report sent and stored!")
return sys.exit(0)
else:
#self.coll.update({"_id": self.task['_id']}, {"$push": {"action":"report: document", "status": False, "date": self.date, "msg": "Unable to create report document"}})
try:
self.update_status(self.task['name'], "report : doc", False)
except pymongo.errors.OperationFailure:
pass
return sys.exit("Report failed")
"--mail",
help="Activates smpt mail service and sends"
" mail with a brief violation summary",
action="store_true")
args = parser.parse_args()
# Check for arg
if args.test:
data = "violation:stopplikt,location:åby allé,timestamp:2020-04-09 11.55,position:[443;121],occurred:1"
data = randomizedresponse.random_response(data, 0.5)
print("TEST")
print("Raw data: " + data)
if args.mail:
report.generate_mail(data)
report.generate_report(data)
else:
report.generate_report(data)
elif args.live:
data = input("Input violation data: ")
data = randomizedresponse.random_response(data, 0.5)
if args.mail:
report.generate_mail(data)
report.generate_report(data)
else:
report.generate_report(data)
def test(coin_prob):
data = "violation:fdsjmundgnhhg,location:åby allé,timestamp:2020-04-09 11.55,position:[443;121],occurred:1"
data = randomizedresponse.random_response(data, coin_prob)
type=int,
default=2)
parser.parse_args()
return parser.parse_args()
def run_commits_generator(github_token, commit_number):
spammer = Popen(SPAMMER_FILE + " " + github_token + " " + USERNAME + " " +
REPOSITORY_NAME + " " + commit_number,
shell=True,
stdin=PIPE,
stdout=DEVNULL,
stderr=STDOUT)
print("INFO: Commits generator started pushing new changes to github")
return spammer
if __name__ == '__main__':
args = get_arguments()
github_token = args.token
commit_number = args.commit_number
time_to_wait_for_changes = commit_number * TIME_DELAY + 5
spammer = run_commits_generator(github_token, str(commit_number))
github_session = create_github_session(github_token)
monitor_changes(github_token, github_session, time_to_wait_for_changes,
USERNAME, REPOSITORY_NAME, TESTS_TO_LAUNCH, TIME_DELAY)
spammer.terminate()
generate_report()
def scan_main(self):
pythoncom.CoInitialize()
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
session_id = base64.b64encode(scan_starttime.encode("ascii")).decode("ascii")
self.update_status(langdata['OP_START'])
## ExploitDB ########################################################
exploitdb_success = False
self.update_status(langdata['EXPLOITDB_DOWNLOAD_INTRO'])
if cp.get('exploitdb', 'use_exploitdb') == 'True':
ExploitDB.download_vulndata(langdata)
self.update_status(langdata['EXPLOITDB_EXTRACT_GUI'])
extracted = ExploitDB.extract_windows_exploit(langdata)
self.update_status(langdata['EXPLOITDB_PARSE'])
exploitdb_vulndata = ExploitDB.parse_vulndata(extracted)
if exploitdb_vulndata is not None:
exploitdb_success = True
if cp.get('general', 'do_not_save_vulndata') == 'True':
os.remove(cp.get('exploitdb', 'vulndata_filename'))
#####################################################################
## JVN ##############################################################
jvn_success = False
self.update_status(langdata['JVN_DOWNLOAD_INTRO'])
if cp.get('jvn', 'use_jvn') == 'True':
self.jvn_download_vulndata(langdata)
jvn_vulndata = product_dict
if jvn_vulndata is not None:
jvn_success = True
#####################################################################
## NVD ##############################################################
nvd_success = False
self.update_status(langdata['NVD_DOWNLOAD_INTRO'])
if cp.get('nvd', 'use_nvd') == 'True':
nvd_vulndata = NVD.download_vulndata(langdata)
if nvd_vulndata is not None:
nvd_success = True
#####################################################################
## Get locally installed applications ###############################
installed = {}
self.update_status(langdata['WMI_APP_RET'])
installed.update(local_app.getapp_from_wmi())
self.update_status(langdata['REG_APP_RET'])
installed.update(local_app.getapp_from_hklm())
installed.update(local_app.getapp_from_hklmwow64())
installed.update(local_app.getapp_from_hkcu())
#####################################################################
## Scan #############################################################
result = {}
count = 0
self.update_status(langdata['SCAN_MSG_ONE'])
scanret_exploitdb = ExploitDB.scan(langdata, exploitdb_vulndata, installed)
scanret_jvn = JVN.scan(langdata, jvn_vulndata, installed)
scanret_nvd = NVD.scan(langdata, nvd_vulndata, installed)
self.update_status(langdata['SCAN_MSG_TWO'])
scanret_winupdate = WindowsUpdate.scan(langdata)
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_winupdate[1]
#####################################################################
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
## Report ###########################################################
self.update_status(langdata['GEN_REPORT'])
report.generate_report( langdata,
'v1.4-ALPHA-GUI',
session_id,
count,
scan_starttime,
scan_endtime,
exploitdb_success,
jvn_success,
nvd_success,
result)
#####################################################################
self.update_status(langdata['SCAN_END'])
# -*- coding: utf-8 -*-
from time import time
from __init__ import to_minimize, neurons, dimensions, J_grad_wrap
from complex_box import complex_box
from first_order_methods.simulated_annealing import simulated_annealing
from report import generate_report
t_start = time()
l = complex_box(to_minimize, neurons * (2 + dimensions),
[-250.0, 1.0, -2.0, -2.0] * neurons,
[250.0, 10.0, 6.0, 6.0] * neurons)
l = simulated_annealing(l, J_grad_wrap, to_minimize)
t_end = time()
generate_report(l, t_start, t_end)
print u"Готово"
def main():
if os.name == "nt":
# Fix for UTF-8 on Windows
if sys.stdout.encoding != "cp65001":
print(
"Changing console codepage to UTF-8 to allow for UTF-8 filenames."
)
os.system("chcp 65001")
sys.exit(
"Please restart the tool for the codepage change to take effect."
)
timestamp = datetime.now().strftime('%Y-%m-%d--%H-%M-%S')
start_time = datetime.now()
# Input argument parsing
parser = argparse.ArgumentParser()
parser.add_argument('--gdrive',
action="store_true",
dest="drive",
help='Analyzing Google Drive')
parser.add_argument('--dropbox',
action="store_true",
dest="dropbox",
help='Analyzing Dropbox')
parser.add_argument('--positive',
action="store_true",
dest="positive",
help='Enable positive hashing')
parser.add_argument('--negative',
action="store_true",
dest="negative",
help='Enable negative hashing')
parser.add_argument('--md5file',
default="None",
help='The user-given txt file of md5 hashes')
parser.add_argument('--sha256file',
default="None",
help='The user-given txt file of sha256 hashes')
parser.add_argument('--sha1file',
default="None",
help='The user-given txt file of sha1 hashes')
args = parser.parse_args()
input_parameter_test = error_check(args)
log_file = create_log_file(timestamp)
log_and_print(log_file, "\n#######################################")
log_and_print(log_file, "############## LetItRain ##############")
log_and_print(log_file, "#######################################\n")
log_and_print(log_file, "Time started: " + timestamp + "\n")
if args.dropbox:
log_and_print(log_file, "Running Dropbox tool...\n")
folder_name, file_list, deleted_file_list = dbox.dbox(
timestamp, log_file)
else:
log_and_print(log_file, "Running Google Drive tool...\n")
folder_name, file_list, deleted_file_list = gdrive.google_drive(
timestamp, log_file)
if args.positive:
log_and_print(log_file, "Performing positive hashing...")
results = hash_checker.hash_checker(folder_name, args, log_file)
elif args.negative:
log_and_print(log_file, "Performing negative hashing...")
results = hash_checker.hash_checker(folder_name, args, log_file)
else:
results = []
end_time = datetime.now()
run_time = str(end_time - start_time)
log_and_print(log_file, "Total run time: " + run_time)
log_and_print(log_file, "Generating report... ", False)
report.generate_report(results, folder_name, args, timestamp, run_time,
file_list, deleted_file_list)
log_and_print(log_file, "Done!")
log_and_print(log_file, "Exiting...")
log_file.close()
def main(session_id, cp, langdata):
DETEXPLOIT_VERSION = 'v1.4-ALPHA-CLI'
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
if session_id == None:
session_id = base64.b64encode(
scan_starttime.encode("ascii")).decode("ascii")
utils.config_test(cp)
ExploitDB_RetData = ExploitDB.proc_data(cp, langdata)
ExploitDB_VulnData = ExploitDB_RetData[0]
ExploitDB_Success = ExploitDB_RetData[1]
JVN_RetData = JVN.proc_data(cp, langdata)
JVN_VulnData = JVN_RetData[0]
JVN_Success = JVN_RetData[1]
NVD_RetData = NVD.proc_data(cp, langdata)
NVD_VulnData = NVD_RetData[0]
NVD_Success = NVD_RetData[1]
installed = local_app.get_all()
## Scan #############################################################
result = {}
count = 0
scanret_exploitdb = ExploitDB.scan(langdata, ExploitDB_VulnData, installed)
scanret_jvn = JVN.scan(langdata, JVN_VulnData, installed)
scanret_nvd = NVD.scan(langdata, NVD_VulnData, installed)
scanret_winupdate = WindowsUpdate.scan(langdata)
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_nvd[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_nvd[
1] + scanret_winupdate[1]
#####################################################################
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
history = '''
Session ID: {}
Scan started at: {}
Scan ended at: {}
Found vulnerable application and available update: {}
DetExploit Version: {}
#####################################################################
'''.format(session_id, scan_starttime, scan_endtime, count,
DETEXPLOIT_VERSION)
with open('../history.detexploit', 'w') as wh:
wh.write(history)
## Report ###########################################################
report.generate_report(cp, langdata, DETEXPLOIT_VERSION, session_id, count,
scan_starttime, scan_endtime, ExploitDB_Success,
JVN_Success, NVD_Success, result)
cprint('===========================================================',
'red')
cprint(langdata['RESONE'] + str(count) + langdata['RESTWO'], 'red')
cprint('===========================================================',
'red')
y,
test_size=0.2,
random_state=0)
#Reshape to 28x28 matrix with 1 channel
X_train = X_train.reshape(X_train.shape[0], 28, 28, 1)
X_test = X_test.reshape(X_test.shape[0], 28, 28, 1)
#Change range from 0-255 to 0 -1
X_train = X_train.astype('float32')
X_test = X_test.astype('float32')
X_train /= 255
X_test /= 255
#Save Y_true to use in confusion matrix
Y_true = y_test
#One hot encoding
Y_train = np_utils.to_categorical(y_train, 10)
Y_test = np_utils.to_categorical(y_test, 10)
#Test the model
score = loaded_model.evaluate(X_test, Y_test, verbose=1)
print("Testing Loss : ", score[0], " Accuracy : ", score[1] * 100, "%")
Y_predicted = loaded_model.predict(X_test)
Y_predicted = np.argmax(Y_predicted, axis=1)
confusion_metrics.cnf_mtrx(Y_true, Y_predicted)
report.generate_report(Y_true, Y_predicted)
with samples as (
select table_schema,
table_name,
query_to_xml(format('select * from %I.%I limit 1', table_schema, table_name), true, true, '')
as sample_row
from information_schema.tables
where table_schema = '{schema_name}'
)
select c.column_name as column, c.data_type,
case when s.sample_row is document
then (xpath('/row/'||column_name||'/text()', s.sample_row))[1]::text
else null end as sample_value
from information_schema.columns c
join samples s on (s.table_schema, s.table_name) = (c.table_schema, c.table_name)
where c.table_name = '{table_name}'
order by ordinal_position
""".format(**vars())
curs.execute(q)
table['columns'] = curs.fetchall()
schema['tables'] = tables
return schemas
tmpl_vars = {'dictionary': get_dictionary(), 'title': args.title}
report.generate_report(tmpl_vars, args)
def scan():
pythoncom.CoInitialize()
DETEXPLOIT_VERSION = 'v1.4-ALPHA-GUI'
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
session_id = base64.b64encode(scan_starttime.encode("ascii")).decode("ascii")
utils.config_test()
progress_label.config(text=langdata['EXPLOITDB_DOWNLOAD_INTRO'])
ExploitDB_RetData = ExploitDB.proc_data(langdata)
ExploitDB_VulnData = ExploitDB_RetData[0]
ExploitDB_Success = ExploitDB_RetData[1]
progress_label.config(text=langdata['JVN_DOWNLOAD_INTRO'])
JVN_RetData = proc_jvn()
JVN_VulnData = JVN_RetData[0]
JVN_Success = JVN_RetData[1]
progress_label.config(text=langdata['NVD_DOWNLOAD_INTRO'])
NVD_RetData = NVD.proc_data(langdata)
NVD_VulnData = NVD_RetData[0]
NVD_Success = NVD_RetData[1]
progress_label.config(text=langdata['GET_LOCAL_APP'])
installed = local_app.get_all()
## Scan #############################################################
result = {}
count = 0
scanret_exploitdb = ExploitDB.scan(langdata, ExploitDB_VulnData, installed)
scanret_jvn = JVN.scan(langdata, JVN_VulnData, installed)
scanret_nvd = NVD.scan(langdata, NVD_VulnData, installed)
scanret_winupdate = WindowsUpdate.scan(langdata)
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_nvd[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_nvd[1] + scanret_winupdate[1]
#####################################################################
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
history = '''
Session ID: {}
Scan started at: {}
Scan ended at: {}
Found vulnerable application and available update: {}
DetExploit Version: {}
#####################################################################
'''.format(session_id, scan_starttime, scan_endtime, count, DETEXPLOIT_VERSION)
with open('../history.detexploit', 'w') as wh:
wh.write(history)
## Report ###########################################################
report.generate_report( langdata,
DETEXPLOIT_VERSION,
session_id,
count,
scan_starttime,
scan_endtime,
ExploitDB_Success,
JVN_Success,
NVD_Success,
result)
elif cmd == 3:
# 정보 조회 -> 출력
searchUser = input('검색할 사용자명을 입력하세요=>')
print(sungjuk[searchUser])
elif cmd == 4:
with open('sungjuk.dat','w',encoding='utf-8') as file:
calculatedSungjuk = runSungjuk()
for element in calculatedSungjuk:
_name = element[0]
file.write(_name+',')
_nums = element[1] # [100, 90, 80, 270, 90.0]
for _number in _nums:
file.write("{0},".format(_number))
file.write('\n')
print('++ 파일에 저장 하였습니다.')
elif cmd == 5:
with open('sungjuk.dat','r',encoding='utf-8') as file:
for line in file:
# sungjuk['USER1'] = [100, 90, 80]
_values = line.split(',')
sungjuk[_values[0]] = [int(_values[1]), int(_values[2]), int(_values[3]), int(_values[4]), float(_values[5])]
print('++ 파일을 읽어 왔습니다.')
elif cmd == 6:
dir = os.path.dirname(os.path.realpath(__file__))
infile = dir + '/sungjuk.dat'
outfile = dir + '/report.csv'
report.generate_report(input_file=infile, output_file=outfile)
elif cmd == 9:
quit()
else:
print()
tables = curs.fetchall()
for table in tables:
table_name = table['table']
q = """
select column_name as column, data_type, t3.description
from information_schema.columns t1
join pg_class t2 on (t1.table_name = t2.relname)
left outer join pg_description t3 on (t2.oid = t3.objoid and t3.objsubid = t1.ordinal_position)
where table_schema = '{schema_name}'
and table_name = '{table_name}'
order by ordinal_position
""".format(**vars())
curs.execute(q)
table['columns'] = curs.fetchall()
schema['tables'] = tables
return schemas
tmpl_vars = {
'dictionary': get_dictionary(),
'title': args.title
}
report.generate_report(tmpl_vars, args)
parser.add_argument('-t',
'--model_type',
default=DEFAULT_MODEL_TYPE,
choices=Model.MODEL_OPTIONS,
help='type of model')
parser.add_argument('-r',
'--report',
default=None,
choices=REPORTS.keys(),
help='type of report')
parser.add_argument('-v',
'--visualize',
action='store_true',
help='visualize the results')
args = parser.parse_args()
if args.report is None:
start_time = time.time()
data = read_data(args.dir, args.max_samples, args.min_sample)
print('Read data in {:.2f} seconds.'.format(time.time() - start_time))
model = Model(model_type=args.model_type)
model.train(data.train)
model.test(data.test, visualize=args.visualize)
if args.visualize and args.model_type == Model.NAIVE_BAYES:
visualizer = ModelVisualizer(model)
visualizer.visualize_naive_bayes()
else:
generate_report(args.dir, args.report)
def main():
global session_id
cprint(figlet_format(' DetExploit'), 'red', attrs=['bold'], end='')
print('===========================================================')
print(langdata['WELCOME_MESSAGE'])
print('===========================================================')
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
if session_id == None:
session_id = base64.b64encode(
scan_starttime.encode("ascii")).decode("ascii")
utils.config_test()
## ExploitDB ########################################################
exploitdb_success = False
if cp.get('exploitdb', 'use_exploitdb') == 'True':
ExploitDB.download_vulndata(langdata)
extracted = ExploitDB.extract_windows_exploit(langdata)
exploitdb_vulndata = ExploitDB.parse_vulndata(extracted)
if exploitdb_vulndata is not None:
exploitdb_success = True
if cp.get('general', 'do_not_save_vulndata') == 'True':
os.remove(cp.get('exploitdb', 'vulndata_filename'))
#####################################################################
## JVN ##############################################################
jvn_success = False
if cp.get('jvn', 'use_jvn') == 'True':
jvn_vulndata = JVN.download_vulndata(langdata)
if jvn_vulndata is not None:
jvn_success = True
#####################################################################
## NVD ##############################################################
nvd_success = False
if cp.get('nvd', 'use_nvd') == 'True':
nvd_vulndata = NVD.download_vulndata(langdata)
if nvd_vulndata is not None:
nvd_success = True
#####################################################################
## Get locally installed applications ###############################
installed = {}
installed.update(local_app.getapp_from_wmi())
installed.update(local_app.getapp_from_hklm())
installed.update(local_app.getapp_from_hklmwow64())
installed.update(local_app.getapp_from_hkcu())
#####################################################################
## Scan #############################################################
result = {}
count = 0
scanret_exploitdb = ExploitDB.scan(langdata, exploitdb_vulndata, installed)
scanret_jvn = JVN.scan(langdata, jvn_vulndata, installed)
scanret_nvd = NVD.scan(langdata, nvd_vulndata, installed)
scanret_winupdate = WindowsUpdate.scan(langdata)
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_nvd[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_nvd[
1] + scanret_winupdate[1]
#####################################################################
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
history = '''
Session ID: {}
Scan started at: {}
Scan ended at: {}
Found vulnerable application and available update: {}
DetExploit Version: {}
#####################################################################
'''.format(session_id, scan_starttime, scan_endtime, count,
DETEXPLOIT_VERSION)
with open('../history.detexploit', 'w') as wh:
wh.write(history)
## Report ###########################################################
report.generate_report(langdata, DETEXPLOIT_VERSION, session_id, count,
scan_starttime, scan_endtime, exploitdb_success,
jvn_success, nvd_success, result)
cprint('===========================================================',
'red')
cprint(langdata['RESONE'] + str(count) + langdata['RESTWO'], 'red')
cprint('===========================================================',
'red')
from webscraping import process_url
from report import generate_report
import json
if __name__ == '__main__':
#tree = process_url('freeCodeCamp/freeCodeCamp')
#tree = process_url('vivadecora/desafio-backend-trabalhe-conosco')
#tree = process_url('ohmyzsh/ohmyzsh')
tree = process_url('Edlaine-Pontes/Forkids')
# print(json.dumps(tree, indent = 2))
generate_report('Edlaine-Pontes/Forkids', tree)
def do_PSI(log_time_file):
st_pnt = 1
end_pnt = 156
if not check_pnts(st_pnt, end_pnt):
return
##################################
list_mte_end_time = [] #время окончания считывания данных со счетчика МТЕ
list_mte_delta_time = [] #интервал считывания данных со счетчика МТЕ
list_blob_time = [] #время последней записи в BLOB-ячейку со статистикой
##################################
cur_pnt = st_pnt
# Инициализация для получения данных с Бинома
init_main_Binom()
# Инициализация для управления МТЕ
counter_MTE, generator_MTE, parameters_MTE = init_main_MTE()
try:
##################################
##################################
##################################
make_psi.binom_data.open_svg_channel()
##################################
##################################
##################################
while cur_pnt <= end_pnt:
# Исключаем из новой методики несколько точек ПСИ
# Точки 125 и 126: номинал тока равен 0,1 мА, счетчик МТЕ измеряет ток в диавпазоне от 1 мА до 12 А.
# Точки 140 и 142: основная частота равна 42,5 Гц, генератор МТЕ воспроизводит частоты от 45 до 70 Гц.
if (cur_pnt == 140) or (cur_pnt == 142) or (cur_pnt == 125) or (cur_pnt == 126):
cur_pnt += 1
list_mte_delta_time.append(0.0) #интервал считывания данных со счетчика МТЕ
list_mte_end_time.append(0.0) #время окончания считывания данных со счетчика МТЕ
list_blob_time.append(0.0)
continue
print("\r\n"+"current PSI point is "+str(cur_pnt)+"\r\n")
#1.3 - Set PSI point on Generator
sig = measurement.measurement_storage.get_etalon_signal(cur_pnt)
parameters_MTE.init_data(sig)
set_PSI_pnt_flag_Generator = generator_MTE.set_PSI_point(sig,parameters_MTE, log_time_file)
if set_PSI_pnt_flag_Generator == True: # проверка установки точки ПСИ по генератору пройдена
counter_MTE.ser_port.timeout = 1
#counter_MTE.set_ranges_for_CNT(parameters_MTE.get_ranges_CNT()) # Установка диапазонов для Счетчика
# 1.3.2 - Check by Counter
#set_PSI_pnt_flag_Counter = counter_MTE.check_PSI_pnt(sig, parameters_MTE.get_exist_harms_flag(), log_time_file)
set_PSI_pnt_flag_Counter = counter_MTE.check_PSI_pnt(sig, parameters_MTE, log_time_file)
if set_PSI_pnt_flag_Counter == True: # проверка установки точки ПСИ по генератору пройдена
#4 Read data from MTE Counter
# опыт с непрерывным измерением за 5, 10, 15 сек. на счетчике МТЕ
#1 установить нужное время измерения на счетчике
#2 открыть канал svg
#3 найти начало 5-ти секундного интервала
#4 сон на 5 секунд
#5 считать и сохранить данные со счетчика мте
#6 считать данные с Бинома
test_read_by_one_meas = False
#test_read_by_one_meas = True
if test_read_by_one_meas == True:
meas_time_CNT = 5 # [sec.]
#meas_time_CNT = 10 # [sec.]
#meas_time_CNT = 20 # [sec.]
#1
counter_MTE.set_meas_time(meas_time_CNT)
#2
#print(str(dt.datetime.now())+" before open svg channel")
make_psi.binom_data.open_svg_channel()
print(str(dt.datetime.now())+" after open svg channel")
#3
py_second = dt.datetime.now().second
t_time = dt.datetime.now()
while py_second % 5 != 0:
t_time = dt.datetime.now()
py_second = t_time.second
before_st_mte_meas = dt.datetime.now()
print(str(before_st_mte_meas)+" choose 5 sec start")
#4
time.sleep(meas_time_CNT + 0.4)
cur_mte_time = dt.datetime.now()
delta_mte_time = cur_mte_time - t_time
print(str(cur_mte_time.time())+ " cur_mte_time")
print(str(delta_mte_time)+ " delta_time")
#5
list_ampl_full = []
list_angle_full = []
freq_Cnt = 0.0
freq_Cnt, list_ampl_full, list_angle_full = counter_MTE.get_meas_from_counter()
'''
print("Counter MTE measurements")
for a_elem in zip(list_ampl_full, list_angle_full):
print(str(a_elem[0])+" ")
print(str(a_elem[1])+" ")
print(str(freq_Cnt))
'''
flag = 2
measurement.measurement_storage.set_mte_measured_signal(flag,cur_pnt,freq_Cnt,list_ampl_full,list_angle_full)
#6
t_now = dt.datetime.now()
print(str(t_now)+ " t_now before read Binom data")
make_psi.binom_data.read_data(cur_pnt)
cur_blob_time = make_psi.binom_data.get_blob_time()
t_now = dt.datetime.now()
print(str(t_now)+ " t_now after read Binom data")
else:
####
counter_MTE.ser_port.timeout = 0.2
counter_MTE.start_auto_measure() # Включить режим автовыдачи результатов
meas_time_CNT = 5 # [sec.]
#meas_time_CNT = 10 # [sec.]
#meas_time_CNT = 20 # [sec.]
################### Установить время измерения генератора равным 5 секундам
meas_time_GEN = 5 # [sec.]
generator_MTE.ser_port.timeout = 0.2
generator_MTE.set_meas_time(meas_time_GEN)
#print(str(dt.datetime.now())+" before open svg channel")
#make_psi.binom_data.open_svg_channel()
#print(str(dt.datetime.now())+" after open svg channel")
################
################
################
# заглушка для проверки гипотезы, о том,
# что сигнал на выходе генератора МТЕ не окончательно установился за время всех проверок
time.sleep(3.0)
################
################
################
# ищем начало 5-ти секундного интервала
py_second = dt.datetime.now().second
t_time = dt.datetime.now()
# Вместо принудительной паузы в 2 сек,
# проверяем осталось ли хотя бы 2 секунды до старта ближайшего 5-ти секундного интервала
while py_second % 5 != 0:
t_time = dt.datetime.now()
py_second = t_time.second
before_st_mte_meas = dt.datetime.now()
print(str(before_st_mte_meas)+" choose 5 sec start")
#make_psi.binom_data.open_svg_channel()
#print(str(dt.datetime.now())+" after open svg channel")
####
#counter_MTE.ser_port.timeout = 0.1
#counter_MTE.start_auto_measure() # Включить режим автовыдачи результатов
##################
#make_psi.binom_data.open_svg_channel()
##################
# считать данные со счетчика за время meas_time_CNT, с интервалом между новыми данными 1.0 сек.
counter_MTE.readByTimeT(meas_time_CNT,1.0)
cur_mte_time = dt.datetime.now()
delta_mte_time = cur_mte_time - t_time
#print(str(cur_mte_time.time())+ " cur_mte_time")
#print(str(delta_mte_time)+ " delta_time")
# выключить режим автовыдачи результатов после окончания интеравала записи Т
counter_MTE.ser_port.timeout = 0.2
counter_MTE.stop_auto_measure()
# считать результаты измерений с Бинома
t_now = dt.datetime.now()
#print(str(t_now)+ " t_now before read Binom data")
make_psi.binom_data.read_data(cur_pnt)
cur_blob_time = make_psi.binom_data.get_blob_time()
t_now = dt.datetime.now()
#print(str(t_now)+ " t_now after read Binom data")
###################
# получить усредненные данные 'короткой посылки' от счетчика МТЕ
list_ampl_full = []
list_angle_full = []
freq_Cnt = 0.0
freq_Cnt, list_ampl_full, list_angle_full = counter_MTE.get_mean_values()
'''
print("Counter MTE measurements")
for a_elem in zip(list_ampl_full, list_angle_full):
print(str(a_elem[0])+" ")
print(str(a_elem[1])+" ")
print(str(freq_Cnt))
'''
# по непонятным причинам, передача измерений через zip не работает, поэтому передаю по списочно
flag = 2
measurement.measurement_storage.set_mte_measured_signal(flag,cur_pnt,freq_Cnt,list_ampl_full,list_angle_full)
# считать измерения с генератора МТЕ
list_Gen_ampl_full = []
list_Gen_angle_full = []
freq_Gen = 0.0
freq_Gen, list_Gen_ampl_full, list_Gen_angle_full = generator_MTE.get_meas_from_generator()
flag = 1
'''
print("Generator MTE measurements")
for a_elem in zip(list_Gen_ampl_full, list_Gen_angle_full):
print(str(a_elem[0])+" ")
print(str(a_elem[1])+" ")
print(str(freq_Gen))
#'''
measurement.measurement_storage.set_mte_measured_signal(flag,cur_pnt,freq_Gen,list_Gen_ampl_full,list_Gen_angle_full)
#cur_mte_time str(datetime.now().time()) == '14:57:06.416287'
#cur_blob_time
list_mte_delta_time.append(delta_mte_time) #интервал считывания данных со счетчика МТЕ
list_mte_end_time.append(cur_mte_time.time()) #время окончания считывания данных со счетчика МТЕ
list_blob_time.append(cur_blob_time.time())
cur_pnt += 1
#'''
except Exception as ex:
print("Exception occur:", ex)
finally:
#формирование отчета о ПСИ
make_psi.binom_data.close_svg_channel()
list_of_times = [list_mte_delta_time, list_mte_end_time, list_blob_time]
'''
for idx in range(len(list_mte_delta_time)):
print("mte_delta "+str(list_of_times[0][idx]) +\
"mte_end "+str(list_of_times[1][idx]) + \
"blob_time "+str(list_of_times[2][idx]) )
'''
#report.generate_report(st_pnt, end_pnt, list_of_times) #cur_pnt
report.generate_report(st_pnt, cur_pnt - 1, list_of_times)
make_psi.deinit()
counter_MTE.ser_port.close()
generator_MTE.ser_port.close()
#'''
print("Ask finished")
def get_report():
return generate_report()
range_count['r4'] * 100 / total_dbid)
if range_count['r5']:
range_percentile['r5p'] = '%0.3f' % float(
range_count['r5'] * 100 / total_dbid)
if range_count['r6']:
range_percentile['r6p'] = '%0.3f' % float(
range_count['r6'] * 100 / total_dbid)
if range_count['r7']:
range_percentile['r7p'] = '%0.3f' % float(
range_count['r7'] * 100 / total_dbid)
if range_count['r8']:
range_percentile['r8p'] = '%0.3f' % float(
range_count['r8'] * 100 / total_dbid)
if range_count['r9']:
range_percentile['r9p'] = '%0.3f' % float(
range_count['r9'] * 100 / total_dbid)
if range_count['r10']:
range_percentile['r10p'] = '%0.3f' % float(
range_count['r10'] * 100 / total_dbid)
analyse_results.append(
Model(table, amount, range_count, range_percentile, sql,
total_dbid))
print datetime.datetime.now(), ' End'
return analyse_results
if __name__ == '__main__':
generate_report(analyse_db())
db.close()
def post(self):
students_score = safe_json_decode(self.get_argument('students_score'))
result = report.generate_report(self, students_score)
self.write(json.dumps(result))
def main():
# Define the description of the programa
file1 = open("src/description.txt", "r")
description_text = '\n'.join(file1.readlines())
file1.close()
parser = argparse.ArgumentParser(description=description_text)
# optional arguments for initialize the analysis
parser.add_argument(
'--ini_stat',
action='store_true',
help='Show the initial statistics of the Database (default: False)')
parser.add_argument(
'--create_unique_word',
action='store_true',
help='Rebuild the analysis by unique word (takes about 20 sec!)')
parser.add_argument(
'--query_ybirth',
action='store_true',
help=
'Remake the complete query for year of born in wikipedia API and scraping Poetry foundation (takes about 5 min!)'
)
# optional arguments for the analysis
parser.add_argument('--word',
metavar='W',
type=str,
nargs='+',
help='Show the statistics by decade of the word')
parser.add_argument(
'--year',
metavar='Y',
type=int,
nargs='+',
help='Show the statistics of the Year when it is possible')
parser.add_argument('--general',
action='store_true',
help='If active a general report is generated')
#optional arguments for the report
parser.add_argument(
'--mailto',
type=str,
nargs='+',
help=
'Send a report to the email address provided, this command expects a valid email as parameter.'
)
args = parser.parse_args()
print(args)
# Import data and create new variables
path = 'input/PoetryFoundationData.csv'
df = import_data_poetry(path, args.ini_stat, args.create_unique_word,
args.query_ybirth)
tipo_var = []
# Get the analysis by words
if args.word:
analysis_unique_word(df, args.word[0])
tipo_var.append(["word", args.word[0]])
if args.year:
analysis_year(df, args.year[0])
tipo_var.append(["year", args.year[0]])
if args.general:
analysis_general(df)
tipo_var.append(["general", ''])
# Generate the report
for e in tipo_var:
generate_report(e)
if args.mailto:
generate_mail_report(args.mailto[0])
def scan():
pythoncom.CoInitialize()
DETEXPLOIT_VERSION = 'v1.4-ALPHA-GUI'
scan_starttime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
session_id = base64.b64encode(
scan_starttime.encode("ascii")).decode("ascii")
utils.config_test(cp) ### no cp default
ExploitDB_VulnData = {}
ExploitDB_Success = {}
if os.path.isfile('ExploitDB.pickle') and os.path.isfile(
'ExploitDB_Success.pickle'):
with open('ExploitDB.pickle', 'rb') as f:
ExploitDB_VulnData = pickle.load(f)
with open('ExploitDB_Success.pickle', 'rb') as f:
ExploitDB_Success = pickle.load(f)
else:
progress_label.config(text=langdata['EXPLOITDB_DOWNLOAD_INTRO'])
ExploitDB_RetData = ExploitDB.proc_data(cp, langdata)
ExploitDB_VulnData = ExploitDB_RetData[0]
ExploitDB_Success = ExploitDB_RetData[1]
with open('ExploitDB.pickle', 'wb') as f:
pickle.dump(ExploitDB_VulnData, f, pickle.HIGHEST_PROTOCOL)
with open('ExploitDB_Success.pickle', 'wb') as f:
pickle.dump(ExploitDB_Success, f, pickle.HIGHEST_PROTOCOL)
JVN_VulnData = {}
JVN_Success = {}
if os.path.isfile('JVN.pickle') and os.path.isfile('JVN_Success.pickle'):
with open('JVN.pickle', 'rb') as f:
JVN_VulnData = pickle.load(f)
with open('JVN_Success.pickle', 'rb') as f:
JVN_Success = pickle.load(f)
else:
progress_label.config(text=langdata['JVN_DOWNLOAD_INTRO'])
JVN_RetData = JVN.proc_data(cp, langdata)
JVN_VulnData = JVN_RetData[0]
JVN_Success = JVN_RetData[1]
with open('JVN.pickle', 'wb') as f:
pickle.dump(JVN_VulnData, f, pickle.HIGHEST_PROTOCOL)
with open('JVN_Success.pickle', 'wb') as f:
pickle.dump(JVN_Success, f, pickle.HIGHEST_PROTOCOL)
NVD_VulnData = {}
NVD_Success = {}
if os.path.isfile('NVD.pickle') and os.path.isfile('NVD_Success.pickle'):
with open('NVD.pickle', 'rb') as f:
NVD_VulnData = pickle.load(f)
with open('NVD_Success.pickle', 'rb') as f:
NVD_Success = pickle.load(f)
else:
progress_label.config(text=langdata['NVD_DOWNLOAD_INTRO'])
NVD_RetData = NVD.proc_data(cp, langdata)
NVD_VulnData = NVD_RetData[0]
NVD_Success = NVD_RetData[1]
with open('NVD.pickle', 'wb') as f:
pickle.dump(NVD_VulnData, f, pickle.HIGHEST_PROTOCOL)
with open('NVD_Success.pickle', 'wb') as f:
pickle.dump(NVD_Success, f, pickle.HIGHEST_PROTOCOL)
progress_label.config(text=langdata['GET_LOCAL_APP'])
installed = local_app.get_all()
## Scan #############################################################
count = 0
i = 0
print("DICCIONARIOO EXPLLLLLOITDB_VULNDATA")
#print(len(ExploitDB_VulnData))
for key in ExploitDB_VulnData:
i = i + 1
if i > 10: break
print("Clave: " + key + " Valor: " + ExploitDB_VulnData[key])
i = 0
print("DICCIONARIOO JVN_VulnData")
#print(len(JVN_VulnData))
for key in JVN_VulnData:
i = i + 1
if i > 10: break
print("Clave: " + key + " Valor: " + JVN_VulnData[key])
i = 0
print("DICCIONARIOO NVD_VulnData")
#print(len(NVD_VulnData))
for key in NVD_VulnData:
i = i + 1
if i > 10: break
print("Clave: " + key + " Valor: " + NVD_VulnData[key])
scanret_exploitdb = ExploitDB.scan(langdata, ExploitDB_VulnData, installed)
scanret_jvn = JVN.scan(langdata, JVN_VulnData, installed)
scanret_nvd = NVD.scan(langdata, NVD_VulnData, installed)
scanret_winupdate = WindowsUpdate.scan(langdata)
result = {}
result.update(scanret_exploitdb[0])
result.update(scanret_jvn[0])
result.update(scanret_nvd[0])
result.update(scanret_winupdate[0])
count = scanret_exploitdb[1] + scanret_jvn[1] + scanret_nvd[
1] # + scanret_winupdate[1]
#####################################################################
scan_endtime = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
history = '''
Session ID: {}
Scan started at: {}
Scan ended at: {}
Found vulnerable application and available update: {}
DetExploit Version: {}
#####################################################################
'''.format(session_id, scan_starttime, scan_endtime, count,
DETEXPLOIT_VERSION)
with open('../history.detexploit', 'w') as wh:
wh.write(history)
resultdict = {}
## Report ###########################################################
report.generate_report(cp, langdata, DETEXPLOIT_VERSION, session_id, count,
scan_starttime, scan_endtime, ExploitDB_Success,
JVN_Success, NVD_Success, result)